Today I’m excited to share that we’ve launched brand new integrations for Jellyfish AI Impact, giving engineering leaders unparalleled insight into how their teams interact with some of the most widely used AI coding tools available including GitHub Copilot, and now Cursor, Gemini Code Assist and Sourcegraph.
AI coding tools are rapidly transforming the software industry. Engineering leaders have quickly transitioned from encouraging their teams to adopt these tools to seeking ways to better understand their impact, ROI and the capacity improvements they provide. Jellyfish is committed to helping engineering leaders navigate this transformation – showing you what’s working, what’s not, and how to build high-performing, AI-integrated teams that know how to use AI effectively.
AI Impact allows engineering teams to:
- Quantify AI impact on developer productivity: Measure how the most popular AI coding tools – including GitHub Copilot, Cursor, Gemini Code Assist and Sourcegraph – impact your teams’ delivery speed, workflow efficiency, and resource allocation.
- Drive strategic decisions with usage data: Determine what percentage of coding work is AI-assisted and identify whether product roadmap or technical debt initiatives benefit from AI assistance.
- Optimize tools for roles and use cases: Compare AI coding tools objectively to determine which perform best for specific functions throughout the software development lifecycle.
- Scale adoption across your organization: Identify which teams excel with AI tools and apply their best practices to increase developer engagement company-wide.
To date, Jellyfish has measured AI coding tool use and impact for more than 300 companies and 20,000 engineers, finding that AI delivers:
- 25% speed up in coding time
- 12% increase in PR throughput
- 17% increase in roadmap work vs KTLO and maintenance
For our customers, AI Impact is already delivering the accountability and metrics they need to report on their AI investments and effectively build AI-enabled teams.
“As we rolled out Cursor across our engineering org, we were limited by their usage data and couldn’t effectively track adoption or identify productivity gains,” said Ciaran McAuliffe, SVP of Software Development at Hootsuite. “Thanks to Jellyfish’s integration with Cursor, we now have granular adoption data and the ability to benchmark against non-Cursor users. With clear signals on where productivity gains are happening, we can take learnings from the higher-performing teams and share them across the org so everyone can benefit.”
The AI coding space is moving quickly. We’re aggressively adding new integrations for the most widely used tools on the market. If you’re using something we don’t yet support, tell us about it! You can email ai@jellyfish.co to let us know.
Let Jellyfish bring your engineering organization into the AI era. To learn more and get started with AI Impact, request a demo here.
About the author
Krishna Kannan is Head of Product at Jellyfish.
